An adaptive algorithm for velocity ambiguity resolution in coherent pulsed Doppler imaging system using multiple repetition frequencies (PRFs) is presented. The fast implementation of this unambiguous estimation proce...
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ISBN:
(纸本)0780382781
An adaptive algorithm for velocity ambiguity resolution in coherent pulsed Doppler imaging system using multiple repetition frequencies (PRFs) is presented. The fast implementation of this unambiguous estimation procedure is based on the fast Fourier transform (FFT) of the nonuniformly sampled data using two consequently changed PRFs. The proposed algorithm resolves the multiple undersampled waveforms and can be easily processed in the real-time Doppler processing
A system for wireless data transmission is presented based on the use of an adaptive algorithm for processing spatial-temporal signals using antenna arrays. To solve the problem of increasing the maximum data transmis...
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ISBN:
(纸本)9781538627822
A system for wireless data transmission is presented based on the use of an adaptive algorithm for processing spatial-temporal signals using antenna arrays. To solve the problem of increasing the maximum data transmission speed and providing a low probability of error in data transmission under multipath conditions, technologies such as MIMO (Multiple input-Multiple output) and OFDM (Orthogonal Frequency Division Multiplexing) were used. The adaptation process is based on the formation of an equivalent directional pattern of the amplitude array antenna in the direction of the arrival of the signal with the highest power along one of the paths in the channel. The results of the research showed that application of the adaptive algorithm on the receiving side allows to significantly reduce the probability of bit error, thereby increasing the throughput in the wireless data channel. The adaptation process is based on the formation of an equivalent directional pattern of the amplitude array antenna in the direction of the arrival of the signal with the highest power along one of the paths in the channel. The results of the research showed that application of the adaptive algorithm on the receiving side allows to significantly reduce the probability of bit error, thereby increasing the throughput in the wireless data channel.
this paper presents a comparative study of two adaptive algorithms, Linear Constraint Minimum Variance (LMCV) and the Minimum Variance Distortionless Response (MVDR) applied to the smart antenna system. These algorith...
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ISBN:
(纸本)9781538662205
this paper presents a comparative study of two adaptive algorithms, Linear Constraint Minimum Variance (LMCV) and the Minimum Variance Distortionless Response (MVDR) applied to the smart antenna system. These algorithms are studied in terms of power while tracking the desired signal. In this case, we used a system with three upcoming signals containing the desired signal, whose position changes constantly, and two signals considered as interference. The simulation result shows that the MVDR technique provides better results than LMCV by creating a beam forming that follows the desired signal through its movement preserving an adequate power.
The paper discusses an adaptive algorithm for processing hydroacoustic signals of antenna arrays in real time. We perform mathematical analysis of the adaptation algorithm. The algorithm is based on an iterative proce...
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ISBN:
(纸本)9781509048656
The paper discusses an adaptive algorithm for processing hydroacoustic signals of antenna arrays in real time. We perform mathematical analysis of the adaptation algorithm. The algorithm is based on an iterative procedure for finding weight coefficients. We provide recommendations for algorithm application under different conditions.
This paper studies weight adjustment in multiple attributes group decision making model. Firstly, the attribute weights respectively calculated by methods of AHP and entropy are optimized based on objective programmin...
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ISBN:
(纸本)9780769550794
This paper studies weight adjustment in multiple attributes group decision making model. Firstly, the attribute weights respectively calculated by methods of AHP and entropy are optimized based on objective programming model. Secondly, the initial weights of decision-makers are updated by the grey correlation degree between the individual decision results and the group decision results. Furtherly, the group decision results are updated. Then the weight- adjusting is continued on the basis of the new group decision results. Based on 2-Norm Minkowski measure, the steady weights of decision-makers and final results of the group are gotten with the process of adjustment. Finally, a numerical example to evaluate wind power equipment supplier shows the feasibility and practicability of the proposed algorithm.
The enterprise informatization management and its technologies can input the vigor into Enterprise's transformation, and help to increase its ability for the good return, can promote the level of technology and ma...
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ISBN:
(纸本)9783037857595
The enterprise informatization management and its technologies can input the vigor into Enterprise's transformation, and help to increase its ability for the good return, can promote the level of technology and management of traditional manufacturing enterprise from a labor intensive industry, and can move it toward the accurate management. The Agile-Transformation strategy platform is designed as Integrated Infrastructure for Agile Enterprise (IIAE) by our research team. In this paper, we discuss some of the details of adaptive algorithm designed for Enterprise's Agile-Transformation including IIAE and relationship of its Main Functions, Fuzzy Neural Network and It's IIAE Application, Cooperative Games for Interval Inventory Decision Support in IIAE. All technical details touched upon obtained satisfying performance in practically.
The performance of DFT (Discrete Fourier Transform) algorithm about frequency estimation is obviously declined, because the DFT spectrums have the problem of energy leakage and picket fence effect. Aiming at this prob...
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ISBN:
(纸本)9781479913909
The performance of DFT (Discrete Fourier Transform) algorithm about frequency estimation is obviously declined, because the DFT spectrums have the problem of energy leakage and picket fence effect. Aiming at this problem, an adaptive algorithm based on FFT for frequency estimation is presented. In this paper we analysis the performance of Rife algorithm and point out that the perfor mance is poor when the true frequency is much close to quantized frequency of DFT. The performance of segmented-FFT (Fast Fourier Transform) phase difference method is also analyzed, and we point out that the performance is poor when the phase difference of the maximum spectral line is big. This adaptive algorithm is a combination of these two algorithms. The adaptive algorithm not only retains the advantages of the two algorithms, but also effectively makes up for the shortcomings of the two algorithms. The simulation results show that the anti-noise performance and stability of algorithm have significantly improved.
In this paper we address an adaptive computational algorithm to improve the Bayesian maximum entropy variational analysis (BMEVA) performance for high resolution radar imaging and denoising. Furthermore, the variation...
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ISBN:
(纸本)9783642159916
In this paper we address an adaptive computational algorithm to improve the Bayesian maximum entropy variational analysis (BMEVA) performance for high resolution radar imaging and denoising. Furthermore, the variational analysis (VA) approach is aggregated by imposing the metrics structures in the corresponding signal spaces. Then, the formalism for combining the Bayesian maximum entropy strategy with the VA paradigm is presented. Finally, the image enhancement and denoising benefits produced by the proposed adaptive Bayesian maximum entropy variational analysis (ABMEVA) method are showed via simulations with real-world radar scene
Pulse-to-pulse coherent Doppler sonar has been used to provide accurate velocity information, but the occurrence of "range-velocity" ambiguity seriously limits more general applications. Although multi-frequ...
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ISBN:
(纸本)9781479987375
Pulse-to-pulse coherent Doppler sonar has been used to provide accurate velocity information, but the occurrence of "range-velocity" ambiguity seriously limits more general applications. Although multi-frequency and dual-time-interval methods have been used to enlarge the range of ambiguity velocity, it remains limited. Therefore, a combined method of conventional and coherent Doppler sonar using a fixed range of ambiguity velocity has been proposed to provide accurate and precise velocity without velocity ambiguity. The combined method using a fixed range of ambiguity velocity worked well at high SNR, but at low SNR it was not able to provide the same accuracy as seen at high SNR. In order to provide accurate and precise velocities at a wide range of SNR, an adaptive algorithm of ambiguity velocity is proposed. Based on simulation results, the combined method using the adaptive algorithm can provide accurate and precise velocities at a wide range of SNR.
For a finite collection of functions within some differential field of several variables, there exists an adaptive algorithm for calculating a basis of their linear relations. We study the complexity of this algorithm...
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For a finite collection of functions within some differential field of several variables, there exists an adaptive algorithm for calculating a basis of their linear relations. We study the complexity of this algorithm, noting how it compares to some other existing techniques. Also we demonstrate some modifications for improving implementation. In the course of our analysis, we define the marginal set of a Young-like set and show how the size of the former can be bounded in terms of the size of the latter. (C) 2010 Elsevier Inc. All rights reserved.
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